Jan Krasnodebski - Recommender Systems, Pricing and Travel

08/06/24 • 66 min

Have you ever wondered why and how certain holidays and flights are priced then recommended?

In this episode of What AI Means for Us by NeuralRec. Chris is joined by Jan Krasnodebski, recommender systems and pricing subject matter expert. With more than 13 years of experience at Expedia and a strong background in pricing and recommendations, Jan shares his expertise on several key topics:

✅The crucial role of pricing in business strategy and its impact on profitability.
✅Unique challenges are faced in pricing for various industries, including med tech and travel.
✅How generative AI is transforming pricing and recommendations, and its current limitations.
✅Multi-stakerholder recommendations, managing them effectively.
✅The integration of AI in booking platforms, enhancing personalization and user experience.
✅Handling ethical implications and ensuring fairness in AI models.
✅Skills and leadership qualities required for success in AI-focused roles.

Join us for a deep dive into the dynamic world of pricing and AI, and how these elements shape the modern travel industry.

Have you ever wondered why and how certain holidays and flights are priced then recommended?

Join us for a deep dive into the dynamic world of pricing and AI, and how these elements shape the modern travel industry.

Previous Episode

Sumit Singh - Digital Twins, Simulation and AI

It was great to be joined by Sumit Singh, a Digital Twin expert and champion of the field.

Sumit dives into the fascinating world of digital twins and their potential to transform industries and society.

In this episode, we explore:

✅What are digital twins? Learn about these virtual replicas and their data magic
✅Benefits for businesses and people.
✅How digital twins optimise systems and improve our world.
✅Challenges and steps organisations can take to harness the power
✅The future with digital twins.
✅Their role in simulation, the metaverse
✅The Digital Twin skills gap and how to address it

Intrigued? Tune in to the full episode and explore the cutting-edge of digital twin technology!

Next Episode

Tetiana Torovets - Property, Personalisation and Search Systems

In this episode, we sit down with Tetiana Torovets, Head of Data Science at QuintoAndar. Tetiana shares her journey from banking and consulting in FinTech to leading a team at ThredUP and now at QuintoAndar.

We explore the intricate challenges of creating recommender systems for marketplaces, the balance between classical machine learning and the latest neural networks, and the application of AI-driven search assistants.

Tune in for insights on metrics, experimentation, and the future of AI in property tech.

✅ Tetiana's Career Journey in Data Science
✅ Differences in Machine Learning Across Industries
✅ Challenges in Marketplace Recommendations
✅ Technical Insights and Multi-Objective Models
✅ Search Assistants and Future of Property Tech
✅ Leadership and Hiring in Machine Learning